Results 231 to 240 of about 16,624 (311)

Deep recurrent neural networks with word embeddings for Urdu named entity recognition [PDF]

, 2019
Wahab Khan, Ali Daud, Fahd S. Alotaibi, Naif Radi Aljohani, Sachi Arafat   +4 more
openalex   +1 more source

Biohybrid Tendons Enhance the Power‐to‐Weight Ratio and Modularity of Muscle‐Powered Robots

Advanced Science, EarlyView.
Biohybrid robots powered by skeletal muscle actuators are capable of dynamically adapting to environmental cues. This study takes inspiration from native muscle–tendon architecture by leveraging tough hydrogels as synthetic tendons for muscle actuators to enhance the power‐to‐weight ratio and modularity of biohybrid machines.
Nicolas Castro, Ronald Heisser, Maheera Bawa, Bastien Aymon, Sarah Wu, Annika Marschner, Sonika Kohli, Angel Bu, Laura Rosado, Martin Culpepper, Xuanhe Zhao, Ritu Raman   +11 more
wiley   +1 more source

Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study. [PDF]

JMIR AI
Agmon S, Singer U, Radinsky K.
europepmc   +1 more source

QCSE: A Pretrained Quantum Context-Sensitive Word Embedding for Natural Language Processing [PDF]

Charles M. Varmantchaonala, Niclas Götting, Nils-Erik Schütte, Jean Louis Ebongue Kedieng Fendji, Christopher Gies   +4 more
openalex   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

Enhancing chemical synthesis research with NLP: Word embeddings for chemical reagent identification-A case study on nano-FeCu. [PDF]

iScience
Cao D, Chan MK.
europepmc   +1 more source

Embedded Lexica: Unlabeled Corpora using Word Embeddings

Researchers frequently need to extract information, such as events or target topics, from large corpora. One common solution involves applying semantically-related keywords to identify tweets, news articles, or other documents of interest. However, it is rarely the case that dictionaries of relevance to the topic, event, or language both exist and are
openaire   +1 more source

Identification and Characterization of an In Silico Designed Membrane‐Active Peptide with Antiviral Properties

Advanced Science, EarlyView.
An evolutionary molecular dynamics platform is used to design P1.6, a membrane‐active peptide that senses lipid packing defects in viral envelopes. P1.6 adopts a stabilized α‐helical structure upon membrane contact, disrupts virus‐like liposomes, and damages HIV‐1 particles.
Pascal von Maltitz, Niek van Hilten, Tatjana Weil, Thunchanok Thummaraj, Jeroen Methorst, Dennis Aschmann, Alexander Kros, Clarissa Read, Jasmina Gačanin, Herre Jelger Risselada, Jan Münch   +10 more
wiley   +1 more source

Optimizing word embeddings for small dataset: a case study on patient portal messages from breast cancer patients. [PDF]

Sci Rep
Song Q, Ni C, Warner JL, Chen Q, Song L, Rosenbloom ST, Malin BA, Yin Z.   +7 more
europepmc   +1 more source

Antiemesis Corticosteroids Potentiate Checkpoint Blockade Efficacy by Normalizing the Immune Microenvironment in Metastatic Murine Breast Cancer

Advanced Science, EarlyView.
Corticosteroids improve the efficacy of immune checkpoint blockade therapy in metastatic murine breast cancer. By normalizing the tumor immune microenvironment, corticosteroids reduce immunosuppressive signals, restore T‐cell function, and promote antitumor immune responses, resulting in enhanced tumor control.
John D. Martin, Koji Nagaoka, Myrofora Panagi, Akihiro Hosoi, Fotios Mpkeris, Pengwen Chen, Thahomina T. Khan, Margaret R. Martin, Changbo Sun, Chrysovalantis Voutouri, Maria Louca, Panagiotis Papageorgis, Akira Sumiyoshi, Nobuhiro Nitta, Kazuyoshi Takeda, Ichio Aoki, Kazunori Kataoka, Triantafyllos Stylianopoulos, Kazuhiro Kakimi, Horacio Cabral   +19 more
wiley   +1 more source